Business Analyst, SPX Science

Lensa; Seattle (WA); On-site; USD 66,000 - 144,000; Full time

Job summary

Lensa is seeking a Business Analyst for the Selling Partner Experience Science team at Amazon. The role involves leveraging analytical skills to develop insights, automate reporting processes, and collaborate with cross-functional teams. Candidates should have a strong background in data analysis, along with proficiency in SQL and Excel. Join a dynamic team focused on innovative ML-driven solutions to enhance the seller experience on Amazon.

Qualifications

• 3+ years of experience in finance or analytical field.
• Experience with SQL and data visualization tools.
• Ability to define requirements and draw business insights.

Responsibilities

• Produce insights and recommendations for key stakeholders.
• Develop and maintain metrics and dashboards.
• Automate reporting processes to enhance efficiency.

Skills

Analytical skills

Data visualization

SQL

Excel

Education

Bachelor's degree or equivalent

Tools

Tableau

Job description

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Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners.

Description

The Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a dynamic, personalized experience to sellers running real businesses, large and small.

Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).

Key job responsibilities

• Produce written recommendations and insights for key stakeholders that will help shape effective strategies.
• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
• Simplify and automate reporting, audits, and other data activities; build solutions to have maximum scale and self-service ability by stakeholders.
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
• Solve complex and broad business problems with analytically derived solutions, applying appropriate analytical best practices.
• Develop programs, methodologies, and reports for analyzing and presenting data.
• Supporting cross-functional teams on day-to-day execution of projects and process improvements.
• Effectively collaborate in a fast-paced environment with multiple teams in a large organization.
  
  

About The Team

Selling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.

Basic Qualifications

• 3+ years of tax, finance or a related analytical field experience
• 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
• Bachelor's degree or equivalent
• Experience defining requirements and using data and metrics to draw business insights
• Experience with Excel
• Experience with SQL
• Experience making business recommendations and influencing stakeholders
  
  

Preferred Qualifications

• Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling
• Experience partnering with executive-level leaders to identifying and solving business issues
  
  

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $66,900/year in our lowest geographic market up to $143,100/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.

If you have questions about this posting, please contact [e-mail]

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Research, Analyst, and Information Technology

• Industries

  IT Services and IT Consulting

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